Senior Data Analyst

Jobgether; Brasil; On-site; BRL 120,000 - 180,000; Full time

Benefits offered by this job

Healthcare benefits

International projects

Professional development

Job summary

Jobgether is seeking a Senior Data Analyst based in Brazil to bridge science and engineering within a global pharmaceutical R&D environment. You will support a team of 15 Full-Stack and Data Engineers, turning complex in vitro concepts into practical guidance and well-documented materials.

You will collaborate with client-side teams, expand pharmaceutical knowledge, and ensure reliable documentation and visuals for efficient troubleshooting. English proficiency at B2 or higher is expected.

Qualifications

• Experience with life sciences data and pharmaceutical data workflows.
• Ability to translate scientific concepts into technical guidance and visualizations.
• Strong analytical skills with documentation and knowledge sharing.

Responsibilities

• Serve as a domain expert for a technical team of engineers.
• Explain in vitro applications and data flows to engineers.
• Create visual representations of portfolios, systems, and data relationships.

Skills

Data analysis

Visualization

Stakeholder communication

Biology knowledge

Education

Bachelor's in Life Sciences/Bioinformatics

Tools

Genedata Screener

Dotmatics

Signal VitroVivo

Job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Data Analyst based in Brazil.

This role offers an opportunity to combine scientific knowledge and data expertise while supporting specialized in vitro applications within a global pharmaceutical research and development environment. You will act as a domain expert, helping a technical team of approximately 15 Full-Stack and Data Engineers understand scientific applications, data flows, and interconnected systems. Working closely with client-side application teams and subject matter specialists, you will translate complex pharmaceutical and biological concepts into practical technical guidance. Your contributions will help improve troubleshooting processes, strengthen knowledge sharing, and ensure technical teams have reliable documentation and visual resources. You will also gain hands-on exposure to specialized pharmaceutical R&D workflows while learning from experienced industry professionals. This position is ideal for an analytical, detail-oriented professional who enjoys bridging the gap between scientific expertise and technical delivery in an international, collaborative environment.

Accountabilities

• Serve as a scientific and domain expert for a technical support team of approximately 15 Full-Stack and Data Engineers.
• Help engineering teams understand in vitro applications, data flows, and the broader application landscape.
• Create clear visual representations of application portfolios, system relationships, and data flows.
• Develop documentation and knowledge resources that help engineers investigate and resolve support requests efficiently.
• Translate scientific, biological, and application-specific concepts into clear, actionable information for technical specialists.
• Collaborate with client-side application teams and domain experts to clarify pharmaceutical workflows and support technical understanding.
• Work independently toward defined deliverables and timelines while coordinating effectively with an internationally distributed team.
• Apply data analysis, visualization, and quality practices to ensure support materials are accurate, accessible, and reliable.
• Continuously expand pharmaceutical R&D knowledge through collaboration with experienced specialists.
• Facilitate effective communication and knowledge sharing between scientific and technical stakeholders.

Requirements

• Educational or professional background in Pharmaceutical Sciences, Clinical Sciences, Biology, Bioinformatics, Data Science, or a closely related field.
• At least 3 years of relevant experience working with specialized life sciences applications, particularly Genedata Screener, Dotmatics, or Signal VitroVivo.
• Experience working with scientific or pharmaceutical data, including an understanding of how information moves between applications and systems.
• Strong analytical skills and the ability to turn complex information into clear visualizations, structured documentation, and practical technical guidance.
• Solid knowledge of biology and clinical sciences to support accurate interpretation of pharmaceutical data and processes.
• Understanding of pharmaceutical medicine principles relevant to in vitro application support.
• Experience with data analysis, quality practices, and visualization techniques to ensure information is accurate, reliable, and easy to understand.
• Strong communication and business communication skills, with the ability to collaborate confidently with scientific experts, engineers, and other stakeholders.
• Ability to work independently, manage agreed deliverables, meet deadlines, and contribute effectively within a distributed international team.
• English proficiency at B2 level or higher.

Nice To Have

• Familiarity with Agile methodologies in distributed, cross-functional environments.
• A collaborative mindset and the ability to work effectively with diverse teams.
• Background or interest in the broader Life Sciences field.
• Experience mentoring colleagues or junior team members.
• Stakeholder management skills, including the ability to build trust and alignment across technical and business groups.
• A Bachelor's degree; a Master's degree is considered an additional advantage.

Benefits

• International projects: Opportunities to contribute to projects for leading global organizations.
• Global collaboration: Work alongside highly skilled professionals from diverse backgrounds.
• Healthcare benefits: Access to healthcare-related benefits.
• Employee financial programs: Resources and programs designed to support financial well-being.
• Paid time off: Paid leave and sick leave.
• Professional development: Access to upskilling, reskilling, and certification courses.
• Online learning: Unlimited access to LinkedIn Learning, including more than 22,000 courses.
• Global career opportunities: Potential to explore career growth across international teams and projects.
• Community involvement: Opportunities to participate in volunteering and community initiatives.
• Employee groups: Opportunities to connect with colleagues through employee communities.
• Recognized workplace culture: An award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

Data Privacy Notice:

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre- contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.